Enterprise Applications


Machine Learning with TensorFlow Google Cloud 日本語版

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Offered by Google Cloud. Google Cloud で機械学習(ML)について学ぶ. 実践的なデータを使用した包括的な ML 実習 Enroll for free.


Probabilistic Graphical Models

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Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems. This course is the first in a sequence of three.


3 Free Machine Learning Courses You Should Take Right Now

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There are many ways to get started with studying machine learning. I have previously written a lot about how to design your own curriculum and roadmap as an alternative to taking courses. This approach allows you to pick and choose free, or low-cost, resources from across the internet that suit both your learning style and budget. However, when you are just starting out on the beginning of your journey into machine learning it can often be useful to follow at least a short course that will guide you through the basic concepts first. This will give you a good foundational overview of the field and it will make it easier to design your own learning path and then continue on with deeper self-directed learning.


How Predictive Sales Analytics Works and Why It Matters

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The technology behind this is called "predictive analytics" or, in sales terms, "predictive sales analytics". In this article, you will learn how you can tell whether your company needs an ERP system with AI to predict customer behaviour. We will also discuss the advantages of using this technology, how it works, and what is needed for it to work. Predictive sales analytics is a specialized field that aims to make sales forecasts as precisely as possible. Various statistical and mathematical methods are available for this purpose.


Advanced Data Science Capstone

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As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging.


3 Strategies To Redefine Your Executive Career Path With AI

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Artificial Intelligence (AI) is disrupting businesses and job roles in every industry, causing concerns about long-term job security for low-skill manual jobs and management roles alike. To prepare for this AI-driven economy, many experienced managers and seasoned executives are turning to MOOCs (Massive Open Online Courses) to upskill in foundational data analytics and AI. This trend is unlikely to slow down anytime soon: The global MOOC market is expected to grow from $3.9 billion in 2018 to $20.8 billion by 2023, a CAGR of 40.1 percent. Business and technology-related courses make up 40 percent of these online courses. Many universities have also joined the drive to fill the AI leadership gap by offering high-touch executive education programs.


Machine Learning for Accounting with Python

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This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems. Accounting Data Analytics with Python is a prerequisite for this course. This course is running on the same platform (Jupyter Notebook) as that of the prerequisite course.


Machine Learning and Reinforcement Learning in Finance

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This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance. The goal of Guided Tour of Machine Learning in Finance is to get a sense of what Machine Learning is, what it is for and in how many different financial problems it can be applied to. The course is designed for three categories of students: Practitioners working at financial institutions such as banks, asset management firms or hedge funds Individuals interested in applications of ML for personal day trading Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course.


Developing AI Applications on Azure

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This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach.


AI Lead Generation Guide for Small Business

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You're about to get some help in filling your sales pipeline. AI lead generation and machine learning is a thing. And in this guide, I'm going to show you how artificial intelligence is going to transform lead generation for your business. Artificial intelligence (AI) has grown by leaps and bounds. In fact, lots of companies are using AI technology to improve lead generation.